Business Analyst developing Big Data solutions to support multiple business units at Kyivstar. Structuring business needs and ensuring clear specifications for implementation.
Responsibilities
Collect, analyze and formalize business requirements from internal teams
Translate business needs into structured documentation, data logic and functional specifications
Design analytical solutions such as triggers, batch processes, dashboards and data funnels
Define data mappings, transformation rules and end-to-end processing flows
Build, aggregate and validate datasets from multiple internal and external sources
Support development teams by clarifying requirements, logic and acceptance criteria
Maintain structured product documentation, PRDs and user stories
Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
Provide visibility on analysis progress and document agreed decisions and assumptions
Contribute to improving analysis practices, documentation quality and internal knowledge sharing
Requirements
2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
Strong analytical thinking and ability to structure complex business requests
Proven experience writing clear functional and technical documentation
Solid SQL skills and experience working with large datasets and ETL processes
Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
Understanding of data structures, processing logic and system integration principles
Experience working with multiple teams in complex corporate environments
Telecom domain knowledge is a plus
Benefits
Work on large-scale data solutions with real operational usage
Remote-friendly work format with flexible hours
Competitive salary and annual performance bonus
Paid vacation and sick leave
Medical and life insurance
Professional development and career growth opportunities
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